基于能量的自适应小波变换图像压缩算法  

Adaptive wavelet transform image compression algorithm based on energy distribution

作　　者：万智萍[1] 

机构地区：[1]中山大学新华学院,广东广州510520

出　　处：《激光与红外》2013年第11期1301-1306,共6页Laser & Infrared

摘　　要：针对现有压缩算法计算量大以及压缩质量差等问题,文章根据图像能量的分布特性,提出了一种基于能量的自适应小波变换图像压缩算法。通过优化扫描法以及小波的分解模式来提高算法的准确率,并根据低频子带的扰动性大小,来对低频子带进行量化处理,而高频子带则是利用边缘检测算法的高效性,来提取高频子带中的有效信号,进而保证图像压缩的高效性与准确性。实验结果表明,文章算法的仿真结果与预期目标相符,有效证明了算法的可行性。Aiming at high computation and low compression quality of existing compression algorithm, an adaptive wavelet transform image compression algorithm based on energy distribution is proposed according to the energy distri-bution features of the image. Through optimizing scanning method and wavelet decomposition mode the accuracy of the algorithm is improved. According to the size of the low-frequency sub-band disturbance value, the low frequency sub- band is quantified. Effective signal of the high-frequency sub-band is extracted by using the edge detection algorithm, which ensures the efficiency and accuracy of image compression. Experimental results show that the algorithms simu-lation results match the target and effectively prove the feasibility of the algorithm.

关 键 词：压缩算法 能量分布 自适应小波变换 边缘检测 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]